Question 1

SELECT ALL THAT APPLY.
-ANOVA

Accepted Answer

A) is one-way if it is applied to one dependent and one independent variable. 
B) Requires non-homogeneity of variance. 
C) examines difference between the samples only and not differences within a single sample. 
D) allows us to determine whether the variance between samples is different than variances within the samples. 
A) is one-way if it is applied to one dependent and one independent variable. 
B) Requires non-homogeneity of variance. 
C) examines difference between the samples only and not differences within a single sample. 
D) allows us to determine whether the variance between samples is different than variances within the samples.

Question 2

The test statistic for ANOVA is

Accepted Answer

A) t 
B) r² 
C) µ 
D) F 
A) t 
B) r² 
C) µ 
D) F

Question 3

ANOVA is a test of the null hypothesis of no difference between any of the means.

Accepted Answer

A) True 
 B)False

Question 4

SELECT ALL THAT APPLY.
-The within-group sum of squares

Accepted Answer

A) measures the scores within a single sample. 
B) is the sum of squared deviation between each sample mean to the overall mean score. 
C) is calculated using $ \sum\left(Y_{i}-\bar{Y}_{k}\right)^{2} $ . 
D) is a tedious and cumbersome set of calculations. 
A) measures the scores within a single sample. 
B) is the sum of squared deviation between each sample mean to the overall mean score. 
C) is calculated using $ \sum\left(Y_{i}-\bar{Y}_{k}\right)^{2} $ . 
D) is a tedious and cumbersome set of calculations.

Question 5

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,the mean square between and the mean square within are 313.01 and 36.87 respectively.Calculate the F statistic.

Accepted Answer

The answer of A researcher is interested in whether there...

Question 6

SELECT ALL THAT APPLY.
-The between-group sum of squares

Accepted Answer

A) measures differences in variance between the groups. 
B) is the sum of squared deviation between each sample mean to the overall mean score. 
C) is calculated using $ \sum\left(Y_{i}-\bar{Y}_{k}\right)^{2} $ . 
D) is the amount of variation in the dependent variable that can be attributed to the independent variable. 
A) measures differences in variance between the groups. 
B) is the sum of squared deviation between each sample mean to the overall mean score. 
C) is calculated using $ \sum\left(Y_{i}-\bar{Y}_{k}\right)^{2} $ . 
D) is the amount of variation in the dependent variable that can be attributed to the independent variable.

Question 7

SST = SSB - SSW

Accepted Answer

A) True 
 B)False

Question 8

What is the F critical?

Accepted Answer

It is the F-test sta

Question 9

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,calculate the value of the between-group sum of squares (SSB).

Accepted Answer

The answer of A researcher is interested in whether there...

Question 10

Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.Calculate the degrees of freedom for the between-group sum of squares.Then,use this quantity to calculate the mean square between.

Accepted Answer

The answer of Imagine you are interested in whether there...

SELECT ALL THAT APPLY. -ANOVA

The test statistic for ANOVA is

ANOVA is a test of the null hypothesis of no difference between any of the means.

SELECT ALL THAT APPLY. -The within-group sum of squares

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,the mean square between and the mean square within are 313.01 and 36.87 respectively.Calculate the F statistic.

SELECT ALL THAT APPLY. -The between-group sum of squares

SST = SSB - SSW

What is the F critical?

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,calculate the value of the between-group sum of squares (SSB).

Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.Calculate the degrees of freedom for the between-group sum of squares.Then,use this quantity to calculate the mean square between.

The What and the Why of Statistics

The Organization and Graphic Presentation of Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Sampling and Sampling Distributions

Estimation

Testing Hypotheses

Bivariate Tables

The Chi-Square Test and Measures of Association

Regression and Correlation

Filters

Exam 11: Analysis of Variance

SELECT ALL THAT APPLY. -ANOVA

The test statistic for ANOVA is

ANOVA is a test of the null hypothesis of no difference between any of the means.

SELECT ALL THAT APPLY. -The within-group sum of squares

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,the mean square between and the mean square within are 313.01 and 36.87 respectively.Calculate the F statistic.

SELECT ALL THAT APPLY. -The between-group sum of squares

SST = SSB - SSW

What is the F critical?

A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,calculate the value of the between-group sum of squares (SSB).

Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.Calculate the degrees of freedom for the between-group sum of squares.Then,use this quantity to calculate the mean square between.

The What and the Why of Statistics

The Organization and Graphic Presentation of Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Sampling and Sampling Distributions

Estimation

Testing Hypotheses

Bivariate Tables

The Chi-Square Test and Measures of Association

Regression and Correlation

Filters